"""
搜索工具模块
"""

import json
from typing import List, Dict
import time

class SearchTools:
    """模拟搜索工具"""

    def __init__(self):
        self.search_engines = ["Google", "Bing", "学术数据库"]

    def search_web(self, query: str, max_results: int = 5) -> List[Dict]:
        """模拟网络搜索"""
        print(f"🔍 正在搜索: {query}")
        time.sleep(1)  # 模拟搜索延迟

        # 模拟搜索结果
        sample_results = [
            {
                "title": f"{query}的最新研究进展",
                "url": "https://example.com/research",
                "snippet": f"关于{query}的综合性研究文章，涵盖了最新技术发展。",
                "source": "学术期刊"
            },
            {
                "title": f"{query}技术应用案例",
                "url": "https://example.com/cases",
                "snippet": f"多个行业应用{query}的成功案例研究。",
                "source": "行业报告"
            },
            {
                "title": f"{query}发展趋势分析",
                "url": "https://example.com/trends",
                "snippet": f"对{query}未来发展方向的专业分析。",
                "source": "技术博客"
            }
        ]

        return sample_results[:max_results]

    def search_academic(self, query: str, max_results: int = 3) -> List[Dict]:
        """模拟学术搜索"""
        print(f"📚 学术搜索: {query}")
        time.sleep(1)

        academic_results = [
            {
                "title": f"{query}的系统性综述",
                "authors": "张三, 李四, 王五",
                "journal": "人工智能学报",
                "year": "2024",
                "abstract": f"本文系统性地回顾了{query}的研究现状和挑战。"
            },
            {
                "title": f"{query}在自然语言处理中的应用",
                "authors": "赵六, 钱七",
                "journal": "计算机研究与发展",
                "year": "2023",
                "abstract": f"探讨了{query}在NLP领域的具体应用场景。"
            }
        ]

        return academic_results[:max_results]

    def format_research_data(self, results: List[Dict]) -> str:
        """格式化研究数据"""
        formatted_data = "# 研究资料汇总\n\n"

        for i, result in enumerate(results, 1):
            formatted_data += f"## 来源 {i}\n"
            for key, value in result.items():
                formatted_data += f"- **{key}**: {value}\n"
            formatted_data += "\n"

        return formatted_data